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Manager, GTM Analytics

Zapier· Data
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Remote$174.2k - $261.3kFull-timePosted 1mo ago

About the role

Lead the GTM Analytics team to deliver trusted go-to-market insights across Marketing, Sales, RevOps, and Customer Ops, building a fast, self-service analytics model with AI-native workflows and governance.

Responsibilities

  • Lead the Analytics & Strategy team, managing analysts embedded with Marketing, Sales, and Support/Customer Ops.
  • Build a fast, trusted operating model for intake, prioritization, QA, stakeholder communication, and recurring business reviews.
  • Coach analysts to deliver high-quality work across funnel reporting, campaign performance, sales analytics, support analytics, forecasting, segmentation, attribution, and executive readouts.
  • Partner with GTM leaders to clarify ambiguous questions, identify decisions at stake, and ensure work leads to concrete business action.
  • Review SQL, dashboards, metric definitions, data caveats, and analytical narratives to maintain speed and quality.
  • Make the team the intake point for self-service and AI automation opportunities; convert recurring patterns into AI primitives and governed dashboards.
  • Bring advanced analytics judgment to experimentation, incrementality, cohort analysis, forecasting, segmentation, and statistical readouts, while partnering with Data Science for deeper modeling needs.
  • Leverage AI tools in workflows, ensuring accuracy, documentation, and governance; drive automation and self-service assets.
  • Develop analysts through clear expectations, feedback, growth paths, and a strong peer learning culture.

Qualifications

  • You are a hands-on analytics manager with 6+ years of experience in analytics, finance, revenue operations, marketing analytics, sales analytics, business operations, investment banking, or related field.
  • You have managed analysts or analytics-adjacent teams for at least 3 years.
  • Strong GTM analytics expertise and experience with funnels, pipeline, bookings/ARR, campaign performance, sales productivity, forecasting, attribution, segmentation, or lifecycle analytics.
  • Excellent SQL skills; comfortable with statistics and advanced analytics concepts; able to partner with Data Science for heavier modeling.
  • Finance-grade rigor, urgency, and ability to deliver clear answers under tight timelines.
  • Ability to establish trust in numbers, with strong documentation, QA standards, and source-of-truth alignment across Data, Finance, Marketing, Sales, and Customer Ops.
  • Experience coaching analysts, setting expectations, and managing ambiguity; strong prioritization skills.
  • AI-native mindset; experience with automation, self-service assets, AI primitives, or governed AI workflows.
  • Ability to manage across analysts and data engineers; balance stakeholder-facing analytics with data foundation work.

Skills

Required:SQL

Benefits

  • Encourage use of diverse perspectives and experiences; inclusive application process.
  • Supportive environment for professional growth and development.
Last updated Sep 16, 2026. Interested? Apply on the company site.
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